[STIB-MIVB] Hack My Ride
Data Mining & QoS Analysis

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Prepared by:
Ahmad (000559204), Alaa (000559472), Chidiebere (000559941), Zyad (000566436)
Supervised by:
Prof. Dr Mahmoud Sakr
Course:
INFO-H423

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GitHub Repository

Project Pipeline Flow
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Identified Time-Group Clusters using K-Means
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QoS Distributions Within Schedule
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[Regularity] QoS by Line & Direction

[Regularity] Identification of Hot Zones (QoS by location)
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Heat Map: Stops by Proportion of Cases with 3mins+ EWT
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[Regularity] QoS by Vehicle & Period of Day

[Punctuality] QoS by Line & Direction

[Punctuality] QoS by Vehicle & Period of Day

Heat Map: Stops by Average Delay from Scheduled Arrival Time
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[Punctuality] QoS by Vehicle & Period of Day

[Regularity] Problematic Segments Within Interconnected Lines
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[East of Brussels] Bus Intersecting Lines: 27, 28, 38, 65, 80, 95
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[West of Brussels] Bus Intersecting Lines: 13, 14, 20, 57, 86, 88
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[Centre of Brussels] Tram Intersecting Lines: 03, 04, 51, 82, 92
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